Buckle (BKE) Selling, General & Administrative (2009 - 2026)
Buckle (BKE) reported Selling, General & Administrative of $97.22 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.6% from $88.67 million a year earlier and up 31.3% from the prior quarter.
Buckle (BKE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Buckle's Selling, General & Administrative came in at $373.56 million, up 3.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $374.41 million, up 6.5% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $351.42 million in FY2025 (+1.0%), $348.01 million in FY2024 (unchanged), $347.87 million in FY2023 (+9.6%) and $317.51 million in FY2022 (+36.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $74.02 million in fiscal Q1 2027 and a high of $109.32 million in fiscal Q4 2026.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 3.4%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2022 (growth of 25.5%); the low point was fiscal Q1 2027 (a decline of 11.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $74.02 million (Q1 2027), $109.32 million (Q4 2026) and $92.99 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Buckle | 2.20 Bn | 1.01 Bn | 153.02 Mn | 97.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 97.22 Mn |
| May 2, 2026 | 74.02 Mn |
| Jan 31, 2026 | 109.32 Mn |
| Nov 1, 2025 | 92.99 Mn |
| Aug 2, 2025 | 88.67 Mn |
| May 3, 2025 | 83.43 Mn |
| Feb 1, 2025 | 103.26 Mn |
| Nov 2, 2024 | 85.59 Mn |
| Aug 3, 2024 | 84.27 Mn |
| May 4, 2024 | 78.30 Mn |
| Feb 3, 2024 | 103.68 Mn |
| Oct 28, 2023 | 83.15 Mn |
| Jul 29, 2023 | 81.65 Mn |
| Apr 29, 2023 | 79.53 Mn |
| Jan 28, 2023 | 103.14 Mn |
| Oct 29, 2022 | 85.98 Mn |
| Jul 30, 2022 | 79.66 Mn |
| Apr 30, 2022 | 79.10 Mn |
| Jan 29, 2022 | 92.77 Mn |
| Oct 30, 2021 | 78.85 Mn |
Buckle Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=BKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "BKE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();